基于大数据分析的配网主动式运维研究

Research on active operation and maintenance of distribution network based on big data analysis

大数据分析的配网主动式运维研究,在电网领域的发展中意义重大。配网主动式运维需要对运维的风险进行评估,评价配网运维的风险等级。利用大数据分析技术来实现配网的运行,设计配网的主动式运维平台,并对配网主动式运维数据进行分类,描述大数据分析的配网主动式运维功能模块,利用配网的比例系数建立配网运维模型,计算配网设备运维时的经济寿命和运维时的损耗等,并对配网负荷点可靠性指标进行评价,衡量配网负荷点的标准,实现大数据分析的配网主动式运维研究。实验结果表明,提出方法的配网主动式运维风险小,不仅具有可靠性,还具有较高的工作效率。

The research on active network operation and maintenance of big data analysis is of great significance in the development of power grids. The active network operation and maintenance of the distribution network needs to assess the risks of operation and maintenance and evaluate the risk level of operation and maintenance of the distribution network. The use of big data analysis technology to achieve distribution network operation, design active distribution network maintenance platform, classify active network operation and maintenance data distribution, analysis of active data operation and maintenance function module of large data analysis, use and match The scale factor of the network establishes the distribution network operation and maintenance model, calculates the economic life of the distribution network equipment during operation and maintenance, and the loss during operation and maintenance, evaluates the reliability index of the distribution network load point, and measures the standard of the distribution network load point. Research on Active Network Operation and Maintenance of Big Data Analysis. The experimental results show that the proposed method has a low risk of active network operation and maintenance, and not only has reliability, but also has high work efficiency.